AdShare Marketplace

The AdShare Marketplace is a revolutionary platform that redefines brand-user engagement by aligning marketing efforts with user interests and empowering users with control over their data and earnings. This marketplace allows brands to connect with genuinely interested audiences while enabling users to benefit directly from their engagement and data-sharing choices.

For brands, the AdShare Marketplace introduces innovative campaign dynamics by allowing them to list customer campaigns that users can participate in and promote. Brands can set budgets and fine-tune campaign parameters, offering a flexible and targeted approach to reach their desired audience. Additionally, brands have control over participant approval, with options for automated or manual selection, ensuring campaigns resonate with the right audience.

For users, the platform offers a tailored and empowering experience. Users can select campaigns from brands they align with, giving them a sense of purpose and connection. They retain full control over data sharing, safeguarding privacy and ownership. Users can also choose their preferred revenue share, earning 10%, 25%, or 50% from their engagement efforts, allowing them to maximize their earnings based on their level of participation (See tiers explanation below).

HOW IT WORKS

To design an algorithm for the AdShare Marketplace within Social AI, we focus on matching creators with advertisers, ensuring equitable revenue sharing and alignment with audience interests:

1. Creator Profile Analysis (CPA): Evaluate creator content, audience demographics, and engagement metrics to generate a profile score (PS).

2. Advertiser Requirement Matching (ARM): Match advertisers' campaign requirements with creators' profile scores to find the best fits, generating a match score (MS).

3. Revenue Share Calculation (RSC): Calculate revenue share based on engagement metrics (EM) from the matched campaigns, using a formula that factors in campaign budget (CB), creator engagement rate (ER), and match score (MS).

4. Community Oversight (CO): Implement a DAO-based review process for disputes and algorithm adjustments to maintain transparency and fairness.

The algorithmic logic can be represented as:

This ensures creators are fairly compensated for their contribution to campaign success, while advertisers achieve their marketing objectives through targeted engagements.

ADSHARE REVENUE DISTRIBUTION MODEL

AdShare earnings are distributed among platform participants based on factors like engagement, content reach, and Power Boost Package level according to the measured reach and impact or custom metrics set by brands.

DISTRIBUTION MECHANISM

The revenue distribution model defines how AdShare earnings are allocated among Social AI, creators, and users, rewarding active engagement and platform contributions. The model can be tiered or include multipliers based on user participation levels.

TIERS AND MULTIPLIERS

Multipliers can be applied based on user activity level, campaign alignment, and the use of Power Boost Packages. For instance, users who engage with specific brands or participate in high-impact campaigns may earn an additional multiplier, increasing their revenue share.

REVENUE POOL DISTRIBUTION

Revenue from all sources is pooled and allocated monthly based on participation metrics. A percentage of the pool is allocated to each tier, with Power Boost subscribers receiving a larger share.